A novel method for automatic functional annotation of proteins
A novel method for automatic functional annotation of proteins
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DOI：
10.1093/bioinformatics/15.3.228
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发表时间：
1999-03-01
期刊：
影响因子：
5.8
通讯作者：
Apweiler, R
中科院分区：
文献类型：
--
作者：
Fleischmann, W;Möller, S;Apweiler, R
动机：为了科普不断增加的序列数据量，需要可靠的自动注释工具。TrEMBL数据库与SWISS-PROT一起包含几乎所有公开可用的蛋白质序列，但与SWISS-PROT相比，只有有限的功能注释。为了改善这种情况，我们不得不开发一种自动注释的方法，实践高度可靠的功能预测使用的语言和语法的SWISS-PROT。结果：一种算法的开发，并成功地用于自动注释的测试集的未知蛋白质。预测的信息包括描述、功能、催化活性、辅因子、途径、亚细胞位置、四级结构、与其他蛋白质的相似性、活性位点和关键词。该算法覆盖率低（10%），但特异性和可靠性较高。
Motivation: To cope with the increasing amount of sequence data, reliable automatic annotation tools are required. The TrEMBL database contains together with SWISS-PROT nearly all publicly available protein sequences, but in contrast to SWISS-PROT only limited functional annotation. To improve this situation, we had to develop a method of automatic annotation that practices highly reliable functional prediction using the language and the syntax of SWISS-PROT.Results: An algorithm was developed and successfully used for the automatic annotation of a testset of unknown proteins. The predicted information included description, function, catalytic activity, cofactors, pathway, subcellular location, quaternary structure, similarity to other protein, active sites, and keywords. The algorithm showed a low coverage (10%), bur a high specificity and reliability.